Update app.py

app.py

@@ -5,10 +5,14 @@ from transformers import AutoTokenizer, AutoModelForCausalLM, set_seed, pipeline
 title = "Python to Text Converter [WIP]"
 description = "This is a space to convert Python code into english text explaining what it does using [codeparrot-small-code-to-text](https://huggingface.co/codeparrot/codeparrot-small-code-to-text),\
             a code generation model for Python finetuned on [github-jupyter-code-to-text](https://huggingface.co/datasets/codeparrot/github-jupyter-code-to-text) a dataset of Python code followed by a docstring explaining it, the data was originally extracted from Jupyter notebooks."
+
+EXAMPLE_1 = "def bubblesort(elements):\n    swapped = False\n    for n in range(len(elements)-1, 0, -1):\n        for i in range(n):\n            if elements[i] > elements[i + 1]:\n                swapped = True\n                elements[i], elements[i + 1] = elements[i + 1], elements[i]\n            if not swapped:\n                return"
+EXAMPLE_2 =  "from sklearn.linear_model import LogisticRegression\n\nX_train, X_test, Y_train, Y_test = model_selection.train_test_split(X, Y, test_size=0.2, random_state=0)\
+\n# Fit the model on training set\nmodel = LogisticRegression()\model.fit(X_train, Y_train)"
+
 example = [
-    ["example1", 65, 0.6, 42],
-    ["example2", 60, 0.6, 42],
-    ["example3", 87, 0.6, 42],
+    [EXAMPLE_1, 60, 0.6, 42],
+    [EXAMPLE_2, 60, 0.6, 42],
     ]
 
 # change model to the finetuned one